51 to 75 of 322 Snowflake Jobs

problem-solving skills and ability to communicate insights to non-technical stakeholders. Experience working with large datasets and cloud-based data warehouses (BigQuery, Redshift, Snowflake). Familiarity with ETL processes and data pipeline optimization is a plus. Ability to work in a fast-paced, data-driven environment and manage multiple ...

already has SC and is a UK national. Additional skills of interest include: An awareness of other data and analytics platforms, such as Snowflake, Databricks, and PowerBI. What you’ll do At Capgemini you will be able to harness your experience to technically implement complex solutions in the data warehousing ...

experience : You have operationalised ML models in production, owning deployment, monitoring and lifecycle management (not just experimentation). Cloud platform expertise (AWS strongly preferred; Snowflake a plus) with deep understanding of services for compute, orchestration, storage and ML (e.g., SageMaker, Lambda, ECS/EKS, Step Functions). Experience with MLOps ...

generative AI services. Support analysis across AI platforms and providers such as Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI API, Anthropic, Databricks and Snowflake AI services where relevant. Provide insight into emerging AI pricing models and token-based cost structures to help teams make more informed technology and investment ...

intelligence platforms (Looker, dbt Semantic Layer, AtScale) – Vector databases and hybrid retrieval (Qdrant, Pinecone, pgvector, AlloyDB vector search) – Cloud data platforms at scale (BigQuery, Snowflake, Databricks, Spanner) – Data cataloging and governance (Google Knowledge Catalog/Dataplex, Collibra, Alation, Atlan) – MCP (Model Context Protocol) for agent-data connectivity* Agent & AI Systems ...

data engineers, data scientists, analysts, developers, architects and product teams to support analytics, machine learning and wider data-driven projects.Relevant experience includes:• Databricks or Snowflake, ideally within AWS• Python, PySpark and SQL• ETL pipelines and data transformation• End-to-end data modelling• DBT, SparkSQL, Airflow, Git, Jenkins or similar tools ...

Apply validation and quality checks to ensure accuracy Key Skills & Experience Strong SQL and Python experience Experience working with cloud-based data platforms (e.g. Snowflake, Azure, AWS) Data visualisation experience (e.g. Power BI) Experience building production-ready data outputs Strong stakeholder engagement and communication skills Experience using AI coding tools ...

Server platform and T-SQL querying. Familiarity with cloud data platforms (e.g., AWS, Azure) and big data technologies (e.g., Kafka, Spark, Databricks, Snowflake). Expert-level knowledge of building ETL processes in Python. Expert-level knowledge of performance tuning and optimization in a Python/SQL Server environment This role ...

similar enterprise AI tools Business Analysis Process mapping Stakeholder management & engagement Workshop facilitation Translating business requirements into technical requirements Data Platform Knowledge Exposure to Snowflake Cloud data warehouse concepts ETL/ELT processes Highly Desirable Skills Alteryx experience ERP experience (Epicor, SAP, Oracle, Dynamics, etc.) API integration knowledge AI governance ...

problem-solving skills to collaborate across global teams and translate complex data insights into actionable outputs Familiarity with data platforms such as Databricks, Spark, Snowflake, or similar technologies Ability to communicate technical concepts clearly to non‐technical stakeholders Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning ...

Databricks, Spark, and Delta Lake. Strong SQL skills with experience working on large datasets. Experience with AWS, including S3 and Lambda. Familiarity with Redshift, Snowflake, or other cloud data warehouses. Experience with behavioral datasets. Ability to work across machine learning, data engineering, analytics, and integrations. Ability to design ...

Medallion-aligned data pipelines (Bronze/Silver/Gold) in our cloud data lake or lakehouse (Azure/AWS/GCP/Databricks/Snowflake). Assess and remediate the current third-party implementation , identifying blockers and accelerating delivery. Define the SAP data model strategy , including prioritisation of modules ...

governance, quality standards, and effective stakeholder engagement Desirable Skills Advanced architectures: Data mesh, data fabric, real‐time/event‐driven systems Modern tools: Databricks, Snowflake, Kafka, dbt Cloud engineering maturity: CI/CD, Infrastructure as Code, DataOps, containers AI/ML enablement: Supporting MLOps and advanced analytics platforms Analytics expertise ...

6+ years of experience as AWS Data Engineer Preferred Experience (Nice to Have): \n - GitLap \n - Nexus Repository Manager \n - Redshift Performance Optimization \n - Snowflake \n - DBT (Data Build Tool) \n If you are interested in this position and would like to learn more, please send through your ...

platforms. Strong knowledge of: Data flows & lineage API integrations ETL processes Data modelling & data warehousing Data mapping Cloud platform experience (AWS and/or Snowflake preferred). Experience with reporting tools such as Power BI. Strong analytical, documentation and stakeholder management skills. Agile/Scrum delivery experience. Desirable Asset Management ...

market or enterprise accounts—comfortable in both exec‐level conversations and deep technical design sessions. Familiarity with enterprise data environments: cloud data warehouses (Snowflake, Databricks, BigQuery, Redshift), REST/GraphQL APIs, and common ERP or CRM platforms. Comfort with modern deployment practices: CI/CD, containerization (Docker/Kubernetes), cloud ...

PyTorch, or similar. Strong experience with cloud platforms (AWS, Azure, or GCP) and building cloud‐native systems. Experience with modern data platforms such as Snowflake, BigQuery, or Databricks. Familiarity with Infrastructure as Code, microservices, and event‐driven architectures. Strong grounding in statistics, experimentation, and analytical methods. Experience deploying and maintaining ...

quality. What we are looking for Experience Proven leadership of enterprise‐scale data platforms in complex organisations Deep expertise in cloud data technologies, including Snowflake, Databricks, AWS, and Microsoft stack Strong background in platform architecture and multi‐vendor, multi‐cloud environments Experience working in Agile environments with diverse stakeholders Knowledge ...

similar). Experience with reporting tools such as Power BI. Experience automating reporting pipelines. Experience with data lakes and big data solutions (e.g. Snowflake, Databricks or similar). Strong communication and stakeholder engagement skills. Desirable skills and experience: Knowledge of machine learning, artificial intelligence or advanced analytics. Benefits and perks ...

similar). Experience with reporting tools such as Power BI. Experience automating reporting pipelines. Experience with data lakes and big data solutions (e.g. Snowflake, Databricks or similar). Strong communication and stakeholder engagement skills. Desirable skills and experience: Knowledge of machine learning, artificial intelligence or advanced analytics. Benefits and perks ...

cloud based ML platforms (AWS, Azure, or GCP) and containerization/orchestration tools such as Docker and Kubernetes. Working knowledge of modern data ecosystems (Snowflake, Redshift) and the ability to collaborate effectively with data engineering teams when needed. Advanced skill in statistical modeling, SQL, and database concepts required. Demonstrated experience ...

data strategy, including the establishment or scaling of data governance capabilities, operating models, or data offices within a complex organization. Extensive experience with Salesforce, Snowflake and Microsoft PowerBI, or other BI tools, is required. Track record of leading cross-functional initiatives across business, technology, risk, and compliance teams, with exposure ...

appropriate testing, documentation and lineage Operate orchestration tooling (Airflow, Dagster, Prefect or equivalent) and the workflows around it Manage cloud data warehouses and lakehouses (Snowflake, BigQuery, Redshift, Synapse, Databricks) Implement data quality, testing, monitoring and observability across pipelines and models Build streaming pipelines where the use case warrants it (Kafka … with dbt or equivalent transformation tooling Orchestration experience (Airflow, Dagster, Prefect or equivalent) Production experience with at least one major cloud warehouse/lakehouse (Snowflake, BigQuery, Redshift, Synapse, Databricks) Cloud platform experience (AWS, GCP, Azure) Solid data modelling foundations—dimensional modelling, slowly changing dimensions, Data Vault or domain-driven approaches ...

Title: Snowflake Data Architect Salary: Paying up to £90,000 per annum Location: Wembley London - 5 days on-site Our client, a well-established and diversified multinational organisation, is seeking a Snowflake/Data Architect to join their team. Skills Solid experience in Data Engineering or Data Architecture, with … minimum of 4 years specialising in Snowflake platform design and governance. Data Architecture: Mastery of Data Warehouse design methodologies - Inmon, Kimball, and Data Vault 2.0 - with the judgement to apply the right pattern for the right use case. Technical Skills: Expert SQL and Python; hands-on experience with dbt (data ...

London. You will translate complex data concepts for senior stakeholders and collaborate with data engineering to deliver data products. Role requires expertise in SQL, Snowflake/Azure/Databricks, and PowerBI, plus a strong track record in financial services data initiatives. Flexible work options and comprehensive benefits are offered. #J ...